ERDDAP
Easier access to scientific data |
Dataset Title: | EMSO Ligure Dyfamed mooring CTD data |
Institution: | Observatoire Océanologique de Villefranche-sur-Mer (Dataset ID: Emso_Ligure_Dyfamed_TSCTD) |
Information: | Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Make a graph |
To view the map, check View : Map of All Related Data above.
WARNING: This may involve lots of data.
For some datasets, this may be slow.
Consider using this only when you need it and
have selected a small subset of the data.
To view the counts of distinct combinations of the variables listed above,
check View : Distinct Data Counts above and select a value for one of the variables above.
Distinct Data (Metadata) (Refine the data subset and/or download the data)
depth |
---|
m |
73.0 |
109.0 |
130.0 |
132.0 |
135.0 |
150.0 |
160.0 |
170.0 |
175.0 |
180.0 |
185.0 |
190.0 |
200.0 |
210.0 |
218.0 |
220.0 |
256.0 |
262.0 |
276.0 |
295.0 |
320.0 |
327.0 |
350.0 |
363.0 |
380.0 |
382.0 |
500.0 |
607.0 |
630.0 |
679.0 |
700.0 |
714.0 |
728.0 |
730.0 |
732.0 |
745.0 |
800.0 |
960.0 |
965.0 |
1000.0 |
1002.0 |
1010.0 |
1019.0 |
1029.0 |
1030.0 |
1154.0 |
1180.0 |
1200.0 |
1375.0 |
1460.0 |
1480.0 |
1488.0 |
1497.0 |
1500.0 |
1515.0 |
1584.0 |
1893.0 |
1965.0 |
2000.0 |
2009.0 |
2030.0 |
2040.0 |
2091.0 |
2300.0 |
2336.0 |
2349.0 |
In total, there are 66 rows of distinct combinations of the variables listed above.
All of the rows are shown above.
To change the maximum number of rows displayed, change View : Distinct Data above.
To view the related data counts,
check View : Related Data Counts above and select a value for one of the variables above.
WARNING: This may involve lots of data.
For some datasets, this may be slow.
Consider using this only when you need it and
have selected a small subset of the data.
Related Data (Metadata) (Refine the data subset and/or download the data)
To view the related data, change View : Related Data above.
WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.